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Selforganizology, 2019, 6(3-4): 13-23
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Article

Blood bank supply chain inventory model for blood collection sites and hospital using genetic algorithm

Ajay Singh Yadav¹, Anupam Swami², Geethanjali Kher³
¹Department of Mathematics, SRM Institute of Science and Technology, Delhi-NCR Campus Ghaziabad, Uttar Pradesh, India
²Department of Mathematics, Govt. P.G. College, Sambhal, U.P., India
³Department of Computer Science, Kirori mal College, Delhi, India

Received 18 March 2019;Accepted 25 April 2019;Published 1 December 2019
IAEES

Abstract
Optimal blood management is one of the key tasks in managing a blood bank supply chain. Optimal methods of blood supply management are aimed at reducing costs in the blood bank supply chain through effective blood supply management so that members of monitoring committees are not affected by excess or shortage. In this article, we proposed an efficient approach that uses a genetic algorithm for optimal inventory management. This article presented a method based on a genetic algorithm for optimizing stocks in managing a blood bank supply chain. In particular, we focused on identifying the most likely stocks and levels of interaction needed to optimize blood supply in the blood bank supply chain in order to minimize the total cost of the blood bank supply chain.

Keywords supply chain;inventory;blood collection sites;hospital of blood bank;genetic algorithm.

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